Software Engineer, Youtube Ads, Auction and User Experience
Mountain View, CA, USA
Sponsorship not specified$147k-$211kDetected 11 hours ago
Full-Stack DevelopmentData StructuresCode ReviewMachine LearningNLPStatisticsUI DesignGoogle AdsLeadership
About the role
- - Bachelor's degree or equivalent practical experience.
- - 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
Responsibilities
- Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
Requirements
- Bachelor's degree or equivalent practical experience.
- 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
- 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
Nice to have
- 2 years of experience with data structures and algorithms.
- Our products need to handle information at massive scale, and extend well beyond web search.
- the list goes on and is growing every day.
- As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve.
- We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
- Write product or system development code.
- Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
Compensation
- US: $147000 - $211000 (USD) + 15% bonus target + equity + benefits
Benefits
- Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
- Implement solutions in one or more specialized Machine Learning (ML) areas, utilize ML infrastructure, and contribute to model optimization and data processing.
This listing is sourced directly from Google's careers page and normalized into a canonical job model.